A new born academic journal promoting reproducibility
Supported by the French Statistical Society
Last update: June 2022
Machine Learning for therapeutic research
Mines ParisTech, Inserm, Institut Curie
Statistics,
CNRS, Institut de Mathématiques de Toulouse
Statistical learning for life science
Université Paris-Saclay, AgroParisTech, INRAE
Machine learning and causal inference for genomics
CNRS, Université Grenoble Alpes
Rstudio, VScode)quarto, Jupyter)git(hub), Actions)Computo’s Board Positioning
Need to renew the mode of publication of scientific knowledge and know-how
Statistics and Computing, Computational Statistics and Data Analysis, Journal of Computational and Graphical Statistics, JMLR, JRSS-B, JASA, …
Limitations
Fixed format (non-dynamic typically, PDF) limiting reproducibility
R journal, Journal of Statistical Software, Journal of Open Source Software, JMLR Machine Learning Open Source Software, ROpen-Sci…
Limitations
Congestion, language-centric, software documentation, not structured around a scientific question
Aims and Scope
Promote contributions in statistics and machine learning that provide insight into which models/methods are the most appropriate to a specific question.
Open and reproducible
Assessing reproducibility
At the submission stage!
https://quarto.org (embed Jupyter and RMarkdown)
→ Eventually published (as Issues)
Copy our template repository to use it as a starter
Write your notebook as usual (Same spirit as Jupyter/Rmarkdown).
file environment.yml
A git push will trigger build process on github
name: build
on: push
jobs:
computorticle:
runs-on: ubuntu-latest
steps: # [...]
- name: Installing dependencies with Miniconda
uses: conda-incubator/setup-miniconda@v2
environment-file: environment.yml
# [...]
- name: Rendering with Quarto
run: quarto render content.qmd
# [...]
- name: Deploying article on github pages
# [...]If the build process is successful,
chrome-printbinder repos can be associated→ Submit the PDF on Scholastica page
Once the reviewing process has ended (successfully!)
https://github.com/computorg/published-202204-deeplearning-occupancy-lynx
Volunteer by filling this form: https://forms.gle/P9iYJANuNM4WTVHDA
Get involved in a stat/ML PCI to feed Computo